Translation and Validation of the Malayalam Version of the Subjective Happiness Scale.

Kelly Cotton, Sanish Sathyan, Soumya Jacob, K S Shaji, Emmeline Ayers, Dristi Adhikari, Alben Sigamani, V G Pradeep Kumar, Joe Verghese
Author Information
  1. Kelly Cotton: Department of Neurology, Albert Einstein College of Medicine, 1225 Morris Park Avenue, Bronx, NY 10461 USA. ORCID
  2. Sanish Sathyan: Department of Neurology, Albert Einstein College of Medicine, 1225 Morris Park Avenue, Bronx, NY 10461 USA.
  3. Soumya Jacob: Christ University, Bengaluru, India.
  4. K S Shaji: Kerala University of Health Sciences, Thrissur, Kerala India.
  5. Emmeline Ayers: Department of Neurology, Albert Einstein College of Medicine, 1225 Morris Park Avenue, Bronx, NY 10461 USA.
  6. Dristi Adhikari: Department of Neurology, Albert Einstein College of Medicine, 1225 Morris Park Avenue, Bronx, NY 10461 USA.
  7. Alben Sigamani: Carmel Research Consultancy Pvt Ltd, Bengaluru, India.
  8. V G Pradeep Kumar: Institute of Neurosciences, Baby Memorial Hospital, Kozhikode, India.
  9. Joe Verghese: Department of Neurology, Albert Einstein College of Medicine, 1225 Morris Park Avenue, Bronx, NY 10461 USA.

Abstract

The subjective happiness scale (SHS) is a brief instrument used to measure global subjective happiness that has been translated from its original English to many other languages. To date, there is no reported translation of this scale into Malayalam, a language spoken by over 32 million people especially in the southern state of Kerala, India. In the present study, 656 community-dwelling older adults participating in the Kerala Einstein study (KES) completed the Malayalam version of the SHS. The Malayalam version demonstrated high internal consistency and good convergent validity, as assessed by comparison to measures of depression and anxiety. We also used factor analysis to determine that the Malayalam version of the SHS has a unidimensional structure, akin to the original English as well as other language adaptations. Our study adds to the repertoire of tools to measure happiness in non-English-speaking populations, enabling future research to explore the foundations of well-being across diverse cultures.
Supplementary Information: The online version contains supplementary material available at 10.1007/s11205-024-03448-y.

Keywords

References

  1. Arch Intern Med. 2006 May 22;166(10):1092-7 [PMID: 16717171]
  2. Front Psychol. 2021 May 13;12:676398 [PMID: 34054677]
  3. JMIR Res Protoc. 2023 Aug 17;12:e49933 [PMID: 37590054]
  4. Front Neurol. 2021 Oct 18;12:661269 [PMID: 34733226]
  5. J Am Geriatr Soc. 2014 Jan;62(1):197-9 [PMID: 25180388]
  6. Collabra Psychol. 2018;4(1): [PMID: 30637366]
  7. J Alzheimers Dis. 2015;50(3):699-707 [PMID: 26757037]
  8. Nihon Koshu Eisei Zasshi. 2004 Oct;51(10):845-53 [PMID: 15565993]
  9. Depress Anxiety. 2010 Feb;27(2):190-211 [PMID: 20099273]
  10. Pers Soc Psychol Bull. 2013 May;39(5):559-77 [PMID: 23599280]
  11. Psychol Aging. 2006 Mar;21(1):201-7 [PMID: 16594806]
  12. Psychol Bull. 1984 May;95(3):542-75 [PMID: 6399758]
  13. J Psychiatr Res. 1982-1983;17(1):37-49 [PMID: 7183759]
  14. Am Psychol. 2000 Jan;55(1):34-43 [PMID: 11392863]

Word Cloud

Created with Highcharts 10.0.0MalayalamhappinessversionscaleSHSstudysubjectiveusedmeasureoriginalEnglishlanguageKeralaSubjectivebriefinstrumentglobaltranslatedmanylanguagesdatereportedtranslationspoken32millionpeopleespeciallysouthernstateIndiapresent656community-dwellingolderadultsparticipatingEinsteinKEScompleteddemonstratedhighinternalconsistencygoodconvergentvalidityassessedcomparisonmeasuresdepressionanxietyalsofactoranalysisdetermineunidimensionalstructureakinwelladaptationsaddsrepertoiretoolsnon-English-speakingpopulationsenablingfutureresearchexplorefoundationswell-beingacrossdiverseculturesSupplementaryInformation:onlinecontainssupplementarymaterialavailable101007/s11205-024-03448-yTranslationValidationVersionHappinessScaleMeasurementValidityWell-being

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